no code implementations • 1 Nov 2022 • Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, Xiaofeng Shi
Pre-trained language models have achieved promising performance on general benchmarks, but underperform when migrated to a specific domain.
no code implementations • SemEval (NAACL) 2022 • Dou Hu, Mengyuan Zhou, Xiyang Du, Mengfei Yuan, Meizhi Jin, Lianxin Jiang, Yang Mo, Xiaofeng Shi
Patronizing and condescending language (PCL) has a large harmful impact and is difficult to detect, both for human judges and existing NLP systems.
Ranked #1 on Binary Condescension Detection on DPM
Binary Condescension Detection Multi-label Condescension Detection +2
no code implementations • 7 Sep 2021 • Mengyuan Zhou, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo
In this paper, we target at how to further improve the token representations on the language models.
no code implementations • SEMEVAL 2021 • Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Mengyuan Zhou
Question answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding.
no code implementations • SEMEVAL 2021 • Jian Ma, Shuyi Xie, Haiqin Yang, Lianxin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo
This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense.